Author: Reza S. Abhari; Marcello Marini; Ndaona Chokani
Title: COVID-19 Epidemic in Switzerland: Growth Prediction and Containment Strategy Using Artificial Intelligence and Big Data Document date: 2020_4_1
ID: elmagpu4_18
Snippet: In this study, a prognosis of the evolution of the disease is predicted using an existing agent-based, artificial intelligence, simulation platform. 4 The entire 8.57 million population of Switzerland, including social adaptation and current government policy, are considered. The economic slowdown and the transition in the use of Switzerland's public and private transportation system are also . CC-BY-ND 4.0 International license It is made availa.....
Document: In this study, a prognosis of the evolution of the disease is predicted using an existing agent-based, artificial intelligence, simulation platform. 4 The entire 8.57 million population of Switzerland, including social adaptation and current government policy, are considered. The economic slowdown and the transition in the use of Switzerland's public and private transportation system are also . CC-BY-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. pre-intervention as well as post-intervention transmission rate, incubation period, and social distancing on the scale of individual persons. Furthermore, calibrated probabilistic sub-models account for demographics, and the period needed for recovery that are required to handle the COVID-19 cases.
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